Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose novel variants of the edRVFL network. Weighted edRVFL (WedRVFL) uses weightin...
Saved in:
Main Authors: | Shi, Qiushi, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh |
---|---|
其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/164112 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Random vector functional link neural network based ensemble deep learning
由: Shi, Qiushi, et al.
出版: (2022) -
Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features
由: Cheng, Wenxin, et al.
出版: (2022) -
Ensemble deep random vector functional link neural network for regression
由: Hu, Minghui, et al.
出版: (2023) -
An ensemble of decision trees with random vector functional link networks for multi-class classification
由: Katuwal, Rakesh, et al.
出版: (2020) -
Stacked autoencoder based deep random vector functional link neural network for classification
由: Katuwal, Rakesh, et al.
出版: (2020)